Senior AI Engineer

CNA • Chicago, IL

7h • Hybrid

About The Position

Individual contributor with experience of AI native platform development and responsible for platform adoption across a CNA engineering community. This role requires expertise in systems analysis and design, application development and/or integration, and testing of complex systems applications to support CNA engineering team needs. Providing guidance to others informally and formally leads teams on a project and/or program. The focus of this position will be leading, architecting, designing, developing, or integrating AI based engineering platforms applications in existing development and testing workflows. Preferred experience with background as SDET or deep experience with Testing tools like Playwright or Cypress etc.

Requirements

• Solid knowledge of use of AI native development tools e.g. Cursor, GitHub Copilot, Claude Code, and MCPs.
• Solid technical skills for developing AI based platforms/apps/agents/skills etc.
• Experience with development of EVALs and Observability platforms for AI native solutions
• Experienced in AI model development and app design, specifically Vertex AI.
• Experience with RAG (Retrieval-Augmented Generation) pipeline architecture and development
• Solid technical knowledge of high-level programming languages like Python and/or Typescript, Java, JavaScript,
• Solid technical knowledge of high-level programming languages, databases, interfaces, and familiarity with application program development alternatives.
• Advanced knowledge in designing and building Integration platforms, APIs and Webservices.
• Working knowledge of different versions of Dev tools like VS Code or JetBrains IDEs; Git and GitHub; npm /yarn, pip, and/or maven/ gradle ; docker – 5+ years of experience.
• Good experience in development of AI native system development life cycle, and application program development technological alternatives.
• Proven understanding of state-of-the-art application development support software packages, proficiency in at least one higher level programming language.
• Proven solid analytical and problem-solving skills.
• Excellent communications and interpersonal skills and the ability to work effectively with peers, IT management and staff, and internal/external business partners/clients.
• Ability to manage projects, lead teams, and mentor individuals.
• Bachelor's degree in Computer Science, or related discipline, or equivalent work experience.
• Typically a minimum of seven years of systems analysis and application program development experience.
• Some previous project leadership experience.
• Applicable certifications preferred.

Nice To Haves

• Preferred experience with background as SDET or deep experience with Testing tools like Playwright or Cypress etc.
• Preferred insurance industry knowledge.
• Preferred experience with React or other front-end frameworks.
• Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress

Responsibilities

• Lead the architecture, design, development, and integration of AI-based engineering platforms, applications, agents, and skills that support software delivery and improve developer productivity.
• Drive adoption of AI-enabled development platforms across the engineering community by embedding capabilities by doing road show, COPs and Demo sessions.
• Provide technical leadership and consultation to engineering teams on AI solution design, application integration, prompt and workflow patterns, and secure, scalable implementation approaches.
• Design and implement robust testing and validation approaches for AI-enabled applications and platforms, including automated testing, quality assurance, and integration into CI/CD pipelines.
• Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities to determine the most effective and cost-efficient solutions for business and engineering needs.
• Collaborate with engineering, infrastructure, security, testing, and external partners to align requirements, integrate solutions, and ensure successful delivery of AI platform capabilities.
• Contribute to AI engineering strategy, architecture direction, governance, and best practices, including reusable patterns for platform development, integration, observability, and supportability.
• Support deployment, monitoring, issue resolution, and ongoing enhancement of AI-based applications and platforms in test and production environments to ensure reliability, performance, and continuous improvement.
• May perform additional duties as assigned.

Benefits

• CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior